| Title |
A modified shape context method for shape based object retrieval
|
|---|---|
| Published in |
SpringerPlus, November 2014
|
| DOI | 10.1186/2193-1801-3-674 |
| Pubmed ID | |
| Authors |
Radhika Mani Madireddy, Pardha Saradhi Varma Gottumukkala, Potukuchi Dakshina Murthy, Satyanarayana Chittipothula |
| Abstract |
The complexity in shape context method and its simplification is addressed. A novel, but simple approach to design shape context method including Fourier Transform for the object recognition is described. Relevance of shape context, an important descriptor for the recognition process is detailed. Inclusion of information regarding all the contour points (with respect to a reference point) in computing the distribution is discussed. Role of similarity checking the procedure details regarding the computation of matching errors through the alignment transform are discussed. Present case of shape context (for each point with respect to the centroid) descriptor is testified for its invariance to translation, rotation and scaling operations. Euclidean distance is used during the similarity matching. Modified shape context based descriptor is experimented over three standard databases. The results evidence the relative efficiency of the modified shape context based descriptor than that reported for other descriptor of concurrent interests. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 46% |
| Student > Master | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Postgraduate | 1 | 8% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 54% |
| Engineering | 3 | 23% |
| Agricultural and Biological Sciences | 1 | 8% |
| Environmental Science | 1 | 8% |
| Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2014.
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#14,789,596
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Outputs from SpringerPlus
#834
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#141,901
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Outputs of similar age from SpringerPlus
#43
of 87 outputs
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